FIELD: information technology.
SUBSTANCE: invention relates to means of detecting malicious files using a training model trained on one malicious file. Selecting a malicious file from a collection of malicious files. A feature vector is selected. A neural network is trained. Rules are selected to detect a malicious file. Unknown files are scanned in order to detect malicious files. Detecting a malicious file.
EFFECT: high probability of detecting malicious files.
14 cl, 4 dwg
Title | Year | Author | Number |
---|---|---|---|
SYSTEM AND METHOD OF SELECTING MEANS OF DETECTING MALICIOUS FILES | 2019 |
|
RU2739830C1 |
SYSTEM AND METHOD OF DETECTING A MALICIOUS FILE | 2018 |
|
RU2739865C2 |
SYSTEM AND METHOD OF DETECTION OF MALICIOUS FILES USING A TRAINED MALWARE DETECTION PATTERN | 2017 |
|
RU2654151C1 |
SYSTEM AND METHOD OF MACHINE TRAINING MODEL OF DETECTING MALICIOUS FILES | 2017 |
|
RU2673708C1 |
SYSTEM AND METHOD FOR FORMING RULE FOR CHECKING FILE FOR MALICIOUSNESS | 2020 |
|
RU2757408C1 |
METHOD OF DETECTING MALICIOUS FILES USING LINK GRAPH | 2023 |
|
RU2823749C1 |
METHOD AND SYSTEM FOR DETECTING MALICIOUS FILES IN A NON-ISOLATED MEDIUM | 2020 |
|
RU2722692C1 |
SYSTEM AND METHOD OF MANAGING COMPUTING RESOURCES FOR DETECTING MALICIOUS FILES | 2017 |
|
RU2659737C1 |
SYSTEM AND METHOD OF DETECTING MALICIOUS FILES ACCOMPANIED WITH USING THE STATIC ANALYSIS ELEMENTS | 2017 |
|
RU2654146C1 |
SYSTEM AND METHOD FOR TRAINING HARMFUL CONTAINER DETECTION MODEL | 2018 |
|
RU2697955C2 |
Authors
Dates
2019-11-21—Published
2018-06-29—Filed